Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "90"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 90 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 35 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 33 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 90, Node N09:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459850 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.047887 -0.227366 -0.814494 0.751670 -0.687968 -0.298511 0.485219 1.920131 0.7543 0.7635 0.3354 3.043751 2.636627
2459849 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.690840 0.651047 -0.687365 1.975606 -0.844569 -0.281012 0.307978 1.325272 0.7528 0.7553 0.3425 3.810432 3.198111
2459848 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.041112 0.395820 0.353892 0.165775 -0.273451 -0.272188 -0.046631 1.771155 0.7291 0.7571 0.3612 3.462802 2.959656
2459847 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.003775 0.004982 0.295079 -0.018345 -0.758423 1.040431 -0.248053 1.094466 0.7248 0.6901 0.4173 6.249636 4.906801
2459846 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.360168 -0.055084 1.189698 0.002578 -0.775925 -0.455071 -0.142834 2.164960 0.8457 0.6890 0.4689 3.032596 2.390581
2459845 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459844 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459843 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459842 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.616612 -1.192815 0.694919 1.745005 -0.381149 -0.399001 0.005085 1.525550 0.7478 0.6850 0.2456 4.510572 4.425907
2459841 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459840 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 1.135312 5.244995 0.868252 1.594987 -0.211098 -0.368067 -1.312320 -2.052383 0.0435 0.0503 0.0108 nan nan
2459839 RF_maintenance 100.00% - - - - - -0.264585 0.893129 14.585445 15.827188 1.269219 0.732383 -1.749466 -2.940438 nan nan nan nan nan
2459838 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.433935 -0.116355 0.509897 1.899566 -0.549479 0.922939 0.117148 0.671338 0.7355 0.6963 0.4010 0.000000 0.000000
2459836 RF_maintenance - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0376 0.0402 0.0036 nan nan
2459835 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -1.415216 -1.408622 -0.447433 -0.369129 -0.141311 3.510797 0.427044 0.095556 0.0399 0.0450 0.0038 nan nan
2459833 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.288947 2.107292 0.896034 1.030365 -0.863238 -0.428975 -0.687076 -0.908852 0.0379 0.0385 0.0019 nan nan
2459832 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.135991 0.356198 1.492901 2.075153 -1.316095 -0.167997 0.233548 0.660798 0.8063 0.5321 0.5926 3.780912 2.748183
2459831 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.079061 0.738892 16.525726 17.949886 4.298558 4.609595 -1.319926 -2.277147 0.0417 0.0439 0.0013 nan nan
2459830 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459829 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459828 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.991783 0.232370 -0.082907 3.195680 -0.179876 -0.377042 0.572238 2.885119 0.8070 0.5481 0.5721 6.279915 3.926512
2459827 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459826 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.868852 0.310819 0.757193 3.297613 -0.277979 2.405825 0.228472 1.431660 0.8084 0.5883 0.5269 0.000000 0.000000
2459825 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.478067 -0.093699 -0.345599 2.788216 -1.000572 -0.967325 -0.804114 -0.275915 0.8037 0.5745 0.5417 4.153563 2.735436
2459824 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.253930 0.201517 -0.125201 2.153933 -0.296569 -0.645641 -0.042729 1.265796 0.7113 0.7138 0.3915 4.724532 4.296546
2459823 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.521258 -0.107476 0.392039 3.744525 -0.416640 -0.313386 1.024805 6.746483 0.7549 0.6125 0.5026 0.000000 0.000000
2459822 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.021352 0.120365 0.323283 4.066120 -0.694889 -0.614255 -0.012014 0.316390 0.8114 0.6091 0.5249 4.736874 3.300668
2459821 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.713793 0.632156 0.189604 3.721711 -1.233740 -0.429176 -1.781818 -1.210133 0.8060 0.6257 0.5253 3.723826 2.929740
2459820 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.851642 -0.551820 0.677767 3.151415 0.505842 1.698486 0.210737 0.329257 0.7789 0.6871 0.4189 2.339003 2.106107
2459817 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.274413 -0.039097 -0.334499 3.427456 -1.581812 0.750315 -0.559302 -0.229226 0.8220 0.6760 0.5090 3.153604 2.653026
2459816 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.063458 -0.076339 -0.179295 3.118265 -0.398627 0.284725 0.052863 3.159730 0.8491 0.6006 0.5888 3.698495 2.830027
2459815 RF_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.116285 -0.161870 1.111160 0.745176 0.346979 -0.737192 -0.353719 -0.211704 0.8114 0.6767 0.5351 3.525619 3.031470
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.293166 1.533273 15.013177 0.513703 47.134183 -0.736316 -2.309068 0.322152 0.7983 0.7042 0.4288 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 90: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Temporal Discontinuties 1.920131 0.047887 -0.227366 -0.814494 0.751670 -0.687968 -0.298511 0.485219 1.920131

Antenna 90: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 1.975606 0.690840 0.651047 -0.687365 1.975606 -0.844569 -0.281012 0.307978 1.325272

Antenna 90: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Temporal Discontinuties 1.771155 0.395820 0.041112 0.165775 0.353892 -0.272188 -0.273451 1.771155 -0.046631

Antenna 90: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Temporal Discontinuties 1.094466 0.004982 0.003775 -0.018345 0.295079 1.040431 -0.758423 1.094466 -0.248053

Antenna 90: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Temporal Discontinuties 2.164960 0.360168 -0.055084 1.189698 0.002578 -0.775925 -0.455071 -0.142834 2.164960

Antenna 90: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 90: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 90: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 90: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 1.745005 -0.616612 -1.192815 0.694919 1.745005 -0.381149 -0.399001 0.005085 1.525550

Antenna 90: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 90: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Shape 5.244995 1.135312 5.244995 0.868252 1.594987 -0.211098 -0.368067 -1.312320 -2.052383

Antenna 90: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 15.827188 0.893129 -0.264585 15.827188 14.585445 0.732383 1.269219 -2.940438 -1.749466

Antenna 90: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 1.899566 -0.116355 -0.433935 1.899566 0.509897 0.922939 -0.549479 0.671338 0.117148

Antenna 90: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Temporal Variability 3.510797 -1.408622 -1.415216 -0.369129 -0.447433 3.510797 -0.141311 0.095556 0.427044

Antenna 90: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Shape 2.107292 2.107292 1.288947 1.030365 0.896034 -0.428975 -0.863238 -0.908852 -0.687076

Antenna 90: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 2.075153 -0.135991 0.356198 1.492901 2.075153 -1.316095 -0.167997 0.233548 0.660798

Antenna 90: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 17.949886 -0.079061 0.738892 16.525726 17.949886 4.298558 4.609595 -1.319926 -2.277147

Antenna 90: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 90: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 90: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 3.195680 0.232370 0.991783 3.195680 -0.082907 -0.377042 -0.179876 2.885119 0.572238

Antenna 90: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 90: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 3.297613 0.310819 0.868852 3.297613 0.757193 2.405825 -0.277979 1.431660 0.228472

Antenna 90: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 2.788216 -0.093699 0.478067 2.788216 -0.345599 -0.967325 -1.000572 -0.275915 -0.804114

Antenna 90: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 2.153933 -0.253930 0.201517 -0.125201 2.153933 -0.296569 -0.645641 -0.042729 1.265796

Antenna 90: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Temporal Discontinuties 6.746483 -0.107476 0.521258 3.744525 0.392039 -0.313386 -0.416640 6.746483 1.024805

Antenna 90: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 4.066120 1.021352 0.120365 0.323283 4.066120 -0.694889 -0.614255 -0.012014 0.316390

Antenna 90: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 3.721711 0.632156 1.713793 3.721711 0.189604 -0.429176 -1.233740 -1.210133 -1.781818

Antenna 90: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 3.151415 0.851642 -0.551820 0.677767 3.151415 0.505842 1.698486 0.210737 0.329257

Antenna 90: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Power 3.427456 0.274413 -0.039097 -0.334499 3.427456 -1.581812 0.750315 -0.559302 -0.229226

Antenna 90: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Temporal Discontinuties 3.159730 -0.076339 1.063458 3.118265 -0.179295 0.284725 -0.398627 3.159730 0.052863

Antenna 90: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance ee Shape 1.116285 -0.161870 1.116285 0.745176 1.111160 -0.737192 0.346979 -0.211704 -0.353719

Antenna 90: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 90: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
90 N09 RF_maintenance ee Temporal Variability 47.134183 1.533273 13.293166 0.513703 15.013177 -0.736316 47.134183 0.322152 -2.309068
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